Co-founder and CEO of Cartesia. Goel previously worked as a research scientist at Snorkel AI and as a machine-learning researcher with Salesforce AI Research. He earned a master's degree in machine learning from Carnegie Mellon University and completed doctoral research at Stanford, where his work included State Space Models and efficient sequence modeling.

Co-founder and Chief Scientist of Cartesia and an assistant professor at Carnegie Mellon University. Gu completed his PhD at Stanford and is a leading researcher in State Space Models. He was the first author of the S4 work and a co-author of Mamba, research that underpins Cartesia's approach to efficient sequence and speech models.

Co-founder of Cartesia with a research background in machine learning, medical imaging and scalable ML systems. Desai previously worked in machine-learning research at Apple and completed a PhD and master's degree in electrical engineering at Stanford after studying biomedical engineering and computer science at Duke University.

Co-founder of Cartesia focused on building systems for machine learning and commercializing real-time AI research. He was previously affiliated with Google Brain and the Stanford AI Lab, where Cartesia's founding team worked on new architectures for efficient sequence modeling.